Bus driver intelligent scheduling method based on segmentation combination optimization

Abstract

The invention discloses a bus driver intelligent scheduling method based on segmentation combination optimization. The method comprises the following steps: step 1, acquiring a line basic data set, apassenger flow data set and an operation data set through a data acquisition module; 2, predicting the average driving time, the departure frequency and the departure interval of each peak section ofthe route on different dates and in different weather through a driving plan making model module according to historical operation and passenger flow data analysis, and establishing a model to generate an initial driving plan table in combination with other basic static data in a data acquisition module; and step 3, on the basis of the initial driving schedule, according to constraint conditions such as the daily standard working duration of the driver and the weight value thereof, enabling a combined optimization analysis module to perform segmenting, combining and optimization. According tothe method, the balance degree of the scheduling plan working duration of the driver is improved, the working duration standard of the driver is met to the maximum extent, and potential safety hazardssuch as ultra-long working and fatigue driving cannot be caused.

Description

technical field [0001] The invention relates to the field of scheduling methods, in particular to an intelligent scheduling method for bus drivers based on segmentation and combination optimization. Background technique [0002] In the intelligent public transportation system, the core is the intelligent public transportation dispatching system, and the core of the public transportation dispatching system is the driving plan and driver scheduling, which involves the optimization of resource allocation in various aspects such as people, vehicles, fields, stations, lines, etc., so , The driving plan and driver scheduling plan and results directly affect the management ability and operational efficiency of the bus company. However, at present, most of the bus companies in my country are still at the level of formulating driving plans and driver scheduling based on personnel experience and using manual methods, which can no longer meet the growing needs of smart buses. Many tran...

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Problems solved by technology

[0004] The technical problem to be solved by the present invention is: how to solve the existing intelligent scheduling method. During the scheduling process, the balance of the scheduled shifts is not good enough, which may easily cause fatigue of the driver, and the scheduling is not intelligent enough. The use of the scheduling method has brought some problems, and an intelligent scheduling method for bus drivers based on segmentation and combination optimization is provided

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